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Speaker(s): Ken Getz, Ashley Brenton, Mike D'Ambrosio, & Ashley Daigneau

The successful application of real-world data (RWD) in clinical trials has been getting a lot of attention as a highly promising new technique with significant potential to change the way clinical trials are run, from improving trial design to increasing diversity to accelerating recruitment.

Yet, with any innovative field, there are challenges in putting theory into practice. The biggest challenges with RWD include collecting, aggregating and analyzing disparate data sources such as electronic health records (EHRs) or medical claims. Even more challenging, much of the richest information in EHRs is locked away in unstructured clinical notes, requiring advanced artificial intelligence (AI) to uncover patterns, details and insights that truly matter.

Drawing in part on new industry research from the Tufts Center for the Study of Drug Development (Tufts CSDD), this webinar will explore how life sciences organizations are successfully utilizing RWD and AI to transform clinical trials today — and what untapped potential still lies ahead.

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